Akme Fintrade (India) Beneish M-Score Historical Data
The historical data trend for Akme Fintrade (India)'s Beneish M-Score can be seen below:
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
Akme Fintrade (India) Beneish M-Score Chart
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Akme Fintrade (India) Annual Data
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Trend |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
| Beneish M-Score |
|
- |
- |
-3.53 |
-2.81 |
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Akme Fintrade (India) Semi-Annual Data
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|
Mar20 |
Mar21 |
Mar22 |
Sep22 |
Mar23 |
Sep23 |
Sep24 |
| Beneish M-Score |
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-3.53 |
- |
-2.81 |
- |
- |
Competitive Comparison of Akme Fintrade (India)'s Beneish M-Score
For the Credit Services subindustry, Akme Fintrade (India)'s Beneish M-Score, along with its competitors' market caps and Beneish M-Score data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
Akme Fintrade (India)'s Beneish M-Score Distribution in the Credit Services Industry
For the Credit Services industry and Financial Services sector, Akme Fintrade (India)'s Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Akme Fintrade (India)'s Beneish M-Score falls into.
Akme Fintrade (India) Beneish M-Score Calculation
The M-score was created by Professor Messod Beneish. Instead of measuring the bankruptcy risk (Altman Z-Score) or business trend (Piotroski F-Score), M-score can be used to detect the risk of earnings manipulation. This is the original research paper on M-score.
The M-Score Variables:
The M-score of Akme Fintrade (India) for today is based on a combination of the following eight different indices:
| M | = | -4.84 | + | 0.92 * DSRI | + | 0.528 * GMI | + | 0.404 * AQI | + | 0.892 * SGI | + | 0.115 * DEPI |
| = | -4.84 | + | 0.92 * 0.8135 | + | 0.528 * 0.785 | + | 0.404 * 1.016 | + | 0.892 * 0.9712 | + | 0.115 * 3.3414 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 2.5806 | + | 4.679 * -0.020001 | - | 0.327 * 0.7772 |
| = | -2.81 |
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
| This Year (Mar23) TTM: | Last Year (Mar22) TTM: |
Total Receivables was ₹1,022.3 Mil.
Revenue was ₹649.1 Mil.
Gross Profit was ₹317.4 Mil.
Total Current Assets was ₹1,237.1 Mil.
Total Assets was ₹3,905.0 Mil.
Property, Plant and Equipment(Net PPE) was ₹178.3 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹5.8 Mil.
Selling, General, & Admin. Expense(SGA) was ₹34.2 Mil.
Total Current Liabilities was ₹706.0 Mil.
Long-Term Debt & Capital Lease Obligation was ₹1,027.2 Mil.
Net Income was ₹158.0 Mil.
Gross Profit was ₹0.0 Mil.
Cash Flow from Operations was ₹236.1 Mil.
|
Total Receivables was ₹1,294.0 Mil.
Revenue was ₹668.4 Mil.
Gross Profit was ₹256.6 Mil.
Total Current Assets was ₹1,334.5 Mil.
Total Assets was ₹3,740.1 Mil.
Property, Plant and Equipment(Net PPE) was ₹58.8 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹6.9 Mil.
Selling, General, & Admin. Expense(SGA) was ₹13.7 Mil.
Total Current Liabilities was ₹1,277.8 Mil.
Long-Term Debt & Capital Lease Obligation was ₹858.1 Mil.
|
1. DSRI = Days Sales in Receivables Index
Measured as the ratio of Revenue in Total Receivables in year t to year t-1.
A large increase in DSR could be indicative of revenue inflation.
| DSRI | = | (Receivables_t / Revenue_t) | / | (Receivables_t-1 / Revenue_t-1) |
| = | (1022.308 / 649.138) | / | (1293.979 / 668.375) |
| = | 1.57487 | / | 1.936007 |
| | = | 0.8135 |
2. GMI = Gross Margin Index
Measured as the ratio of gross margin in year t-1 to gross margin in year t.
Gross margin has deteriorated when this index is above 1. A firm with poorer prospects is more likely to manipulate earnings.
| GMI | = | GrossMargin_t-1 | / | GrossMargin_t |
| = | (GrossProfit_t-1 / Revenue_t-1) | / | (GrossProfit_t / Revenue_t) |
| = | (256.551 / 668.375) | / | (317.418 / 649.138) |
| = | 0.383843 | / | 0.488984 |
| | = | 0.785 |
3. AQI = Asset Quality Index
AQI is the ratio of asset quality in year t to year t-1.
Asset quality is measured as the ratio of non-current assets other than Property, Plant and Equipment to Total Assets.
| AQI | = | (1 - (CurrentAssets_t + PPE_t) / TotalAssets_t) | / | (1 - (CurrentAssets_t-1 + PPE_t-1) / TotalAssets_t-1) |
| = | (1 - (1237.139 + 178.277) / 3905.002) | / | (1 - (1334.479 + 58.836) / 3740.135) |
| = | 0.637538 | / | 0.627469 |
| | = | 1.016 |
4. SGI = Sales Growth Index
Ratio of Revenue in year t to sales in year t-1.
Sales growth is not itself a measure of manipulation. However, growth companies are likely to find themselves under pressure to manipulate in order to keep up appearances.
| SGI | = | Sales_t | / | Sales_t-1 |
| = | Revenue_t | / | Revenue_t-1 |
| = | 649.138 | / | 668.375 |
| | = | 0.9712 |
5. DEPI = Depreciation Index
Measured as the ratio of the rate of Depreciation, Depletion and Amortization in year t-1 to the corresponding rate in year t.
DEPI greater than 1 indicates that assets are being depreciated at a slower rate. This suggests that the firm might be revising useful asset life assumptions upwards, or adopting a new method that is income friendly.
| DEPI | = | (Depreciation_t-1 / (Depreciaton_t-1 + PPE_t-1)) | / | (Depreciation_t / (Depreciaton_t + PPE_t)) |
| = | (6.948 / (6.948 + 58.836)) | / | (5.819 / (5.819 + 178.277)) |
| = | 0.105618 | / | 0.031609 |
| | = | 3.3414 |
Note: If the Depreciation, Depletion and Amortization data is not available, we assume that the depreciation rate is constant and set the Depreciation Index to 1.
6. SGAI = Sales, General and Administrative expenses Index
The ratio of Selling, General, & Admin. Expense(SGA) to Sales in year t relative to year t-1.
SGA expenses index > 1 means that the company is becoming less efficient in generate sales.
| SGAI | = | (SGA_t / Sales_t) | / | (SGA_t-1 /Sales_t-1) |
| = | (34.234 / 649.138) | / | (13.659 / 668.375) |
| = | 0.052738 | / | 0.020436 |
| | = | 2.5806 |
7. LVGI = Leverage Index
The ratio of total debt to Total Assets in year t relative to yeat t-1.
An LVGI > 1 indicates an increase in leverage
| LVGI | = | ((LTD_t + CurrentLiabilities_t) / TotalAssets_t) | / | ((LTD_t-1 + CurrentLiabilities_t-1) / TotalAssets_t-1) |
| = | ((1027.176 + 705.961) / 3905.002) | / | ((858.131 + 1277.78) / 3740.135) |
| = | 0.443825 | / | 0.571079 |
| | = | 0.7772 |
8. TATA = Total Accruals to Total Assets
Total accruals calculated as the change in working capital accounts other than cash less depreciation.
| TATA | = | (IncomefromContinuingOperations_t | - | CashFlowsfromOperations_t) | / | TotalAssets_t |
| = | (NetIncome_t - NonOperatingIncome_t | - | CashFlowsfromOperations_t) | / | TotalAssets_t |
| = | (158.027 - 0 | - | 236.13) | / | 3905.002 |
| | = | -0.020001 |
An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator. An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.
Akme Fintrade (India) has a M-score of -2.81 suggests that the company is unlikely to be a manipulator.
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